Ollama v0.30.3 adds Gemma 4 12B for local laptop AI
Run advanced multimodal reasoning on your laptop with Gemma 4 12B
Ollama, the wildly popular open-source tool for running large language models locally (173k GitHub stars), has released version 0.30.3 featuring support for Google's new Gemma 4 12B model. This multimodal model is designed to deliver high-performance intelligence—including vision and reasoning—directly on laptops, eliminating the need for cloud API calls or expensive server hardware. The 12B parameter size strikes a balance between capability and efficiency, making advanced AI accessible to individual developers and small teams running on consumer-grade machines.
Gemma 4 12B is notable for combining multimodal input (e.g., images plus text) with strong reasoning skills, all within a footprint that fits on a local GPU or even CPU in some cases. Ollama's straightforward installation and CLI interface mean users can pull and run the model with a single command: `ollama pull gemma4:12b`. This release underscores the trend toward democratizing cutting-edge AI, letting professionals experiment, prototype, and deploy language models privately and without recurring cloud costs.
- Ollama v0.30.3 adds support for Google's Gemma 4 12B model
- Gemma 4 12B is a multimodal model (image+text) optimized for laptop-grade hardware
- Model balances 12B parameters with efficiency for local high-performance reasoning
Why It Matters
Enables professionals to run advanced, multimodal AI privately on their laptops, no cloud needed.